Mass-Spring and Material Point Method Simulations
收藏arXiv2025-09-30 收录
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https://github.com/erizmr/Complex-locomotion-skill-learning-via-differentiable-physics
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该数据集包含了使用可微物理框架模拟的运动任务，重点关注神经网络控制器在各种挑战性情境下的表现。此外，该数据集被用于测试不同优化器和激活函数在训练神经网络控制器完成运动任务时的性能。该数据集的任务是学习复杂的运动技能。
This dataset comprises motor tasks simulated through a differentiable physics framework, with a focus on the performance of neural network controllers across various challenging scenarios. Additionally, this dataset is utilized to evaluate the performance of different optimizers and activation functions when training neural network controllers to complete motor tasks. The core task targeted by this dataset is learning complex motor skills.
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